Organic macromolecules in shells of Arctica islandica: comparison with nacroprismatic bivalve shells

2017 ◽  
Vol 164 (11) ◽  
Author(s):  
Oluwatoosin B. A. Agbaje ◽  
Denise E. Thomas ◽  
Bernie V. Mclnerney ◽  
Mark P. Molloy ◽  
Dorrit E. Jacob
2011 ◽  
Vol 302 (1-2) ◽  
pp. 52-64 ◽  
Author(s):  
Bernd R. Schöne ◽  
Zengjie Zhang ◽  
Pascal Radermacher ◽  
Julien Thébault ◽  
Dorrit E. Jacob ◽  
...  

2021 ◽  
Vol 8 ◽  
Author(s):  
Bernd R. Schöne ◽  
Qian Huang

Bulk stable nitrogen isotope values of the carbonate-bound organic matrix in bivalve shells (δ15NCBOM) are increasingly used to assess past food web dynamics, track anthropogenic nitrogen pollution and reconstruct hydrographic changes. However, it remains unresolved if the δ15NCBOM values are also affected by directed ontogenetic trends which can bias ecological and environmental interpretations. This very aspect is tested here with modern and fossil specimens of the long-lived ocean quahog, Arctica islandica, collected from different sites and water depths in the NE Atlantic Ocean. As demonstrated, δ15NCBOM values from the long chronologies show a general decrease through lifetime by −0.006‰ per year. The most likely reason for the observed δ15NCBOM decline is a change in the type of proteins synthesized at different stages of life, i.e., a gradual shift from proteins rich in strongly fractionating, trophic amino acids during youth toward proteins rich in source amino acids during adulthood. Aside from this ontogenetic trend, distinct seasonal to multidecadal δ15NCBOM variations (ca. 50 to 60 years; up to 2.90‰) were identified. Presumably, the latter were governed by fluctuations in nutrient supply mediated by the Atlantic Multidecadal Variation (AMV) and Atlantic Meridional Overturning Circulation (AMOC) combined with changes in nitrate utilization by photoautotrophs and associated Rayleigh fractionation processes. Findings underline the outstanding potential of bivalve shells in studies of trophic ecology, oceanography and pollution, but also highlight the need for compound-specific isotope analyses.


2008 ◽  
Vol 254 (1-2) ◽  
pp. 113-119 ◽  
Author(s):  
L.C. Foster ◽  
A.A. Finch ◽  
N. Allison ◽  
C. Andersson ◽  
L.J. Clarke

2014 ◽  
Vol 126 ◽  
pp. 307-320 ◽  
Author(s):  
Kotaro Shirai ◽  
Bernd R. Schöne ◽  
Tsuzumi Miyaji ◽  
Pascal Radarmacher ◽  
Richard A. Krause ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0247968
Author(s):  
Nils Höche ◽  
Eric O. Walliser ◽  
Niels J. de Winter ◽  
Rob Witbaard ◽  
Bernd R. Schöne

Bivalve shells are increasingly used as archives for high-resolution paleoclimate analyses. However, there is still an urgent need for quantitative temperature proxies that work without knowledge of the water chemistry–as is required for δ18O-based paleothermometry–and can better withstand diagenetic overprint. Recently, microstructural properties have been identified as a potential candidate fulfilling these requirements. So far, only few different microstructure categories (nacreous, prismatic and crossed-lamellar) of some short-lived species have been studied in detail, and in all such studies, the size and/or shape of individual biomineral units was found to increase with water temperature. Here, we explore whether the same applies to properties of the crossed-acicular microstructure in the hinge plate of Arctica islandica, the microstructurally most uniform shell portion in this species. In order to focus solely on the effect of temperature on microstructural properties, this study uses bivalves that grew their shells under controlled temperature conditions (1, 3, 6, 9, 12 and 15°C) in the laboratory. With increasing temperature, the size of the largest individual biomineral units and the relative proportion of shell occupied by the crystalline phase increased. The size of the largest pores, a specific microstructural feature of A. islandica, whose potential role in biomineralization is discussed here, increased exponentially with culturing temperature. This study employs scanning electron microscopy in combination with automated image processing software, including an innovative machine learning–based image segmentation method. The new method greatly facilitates the recognition of microstructural entities and enables a faster and more reliable microstructural analysis than previously used techniques. Results of this study establish the new microstructural temperature proxy in the crossed-acicular microstructures of A. islandica and point to an overarching control mechanism of temperature on the micrometer-scale architecture of bivalve shells across species boundaries.


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